Datasets:
observation.state list | action list | timestamp float32 0 180 | frame_index int64 0 5.4k | episode_index int64 0 29 | index int64 0 57k | task_index int64 0 0 |
|---|---|---|---|---|---|---|
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This dataset was created using LeRobot.
Dataset Description
Real-robot evaluation rollouts recorded on a Rebot B601 7-DoF arm, from the LeWAM project. Every episode here is a policy rollout on the physical robot — not a teleoperated demonstration — scored by a human operator immediately after it ran.
- Task: non-prehensile PushT (
b601_pusht): the arm pushes a T-shaped block into a target pose without grasping it. Shares only its name with the simulated PushT. Trained onehalicki/b601_pusht. - Policy: LeWAM self-supervised WAM (
selfwam_mot_mse_frozen), the same joint action + future-latent objective, but with the vision encoder frozen - Success rate: 12/30 = 40.0%
- Episodes: 30 · frames: 56963 · fps: 30 · robot time: 31.6 min
- Wall-clock: 47.2 min (median 96s, max 293s per episode) — longer than robot time because inference on this hardware runs slower than real time
- wandb run:
tkxakevf(eval-pusht_selfwam_mot_mse_frozen) - Episode cap: 5400 steps — an episode that hits it is scored a failure.
Observations
Three synchronised camera streams (observation.images.zed_left,
observation.images.zed_right from a ZED Mini, observation.images.wrist_cam from a
wrist-mounted USB camera) plus observation.state. action is the 7-DoF joint command
the policy emitted.
Note the policies were served torque-only state (observation.state sliced to
*.torq); the observation.state recorded here is the robot's full state vector, so
reproducing what the policy actually saw means applying the same slice.
Per-episode scoring
eval_session.json holds the operator's label for each episode:
| episode | success | steps | seconds |
|---|---|---|---|
| 0 | ❌ | 4370 | 210.2 |
| 1 | ❌ | 1315 | 93.0 |
| 2 | ❌ | 1994 | 99.9 |
| 3 | ✅ | 290 | 16.4 |
| 4 | ❌ | 3235 | 152.1 |
| 5 | ✅ | 552 | 28.9 |
| 6 | ❌ | 2540 | 121.8 |
| 7 | ✅ | 2144 | 103.2 |
| 8 | ❌ | 1125 | 55.4 |
| 9 | ✅ | 2225 | 110.9 |
| 10 | ✅ | 543 | 28.5 |
| 11 | ❌ | 1928 | 93.2 |
| 12 | ✅ | 1378 | 68.8 |
| 13 | ❌ | 2000 | 96.5 |
| 14 | ❌ | 1166 | 60.8 |
| 15 | ❌ | 1600 | 77.1 |
| 16 | ✅ | 477 | 25.7 |
| 17 | ❌ | 2972 | 141.9 |
| 18 | ❌ | 2218 | 106.0 |
| 19 | ✅ | 2823 | 134.9 |
| 20 | ✅ | 1254 | 61.9 |
| 21 | ❌ | 906 | 44.2 |
| 22 | ❌ | 5400 | 293.3 |
| 23 | ✅ | 2234 | 108.7 |
| 24 | ✅ | 680 | 34.5 |
| 25 | ❌ | 2162 | 105.4 |
| 26 | ✅ | 2985 | 144.3 |
| 27 | ❌ | 1117 | 54.1 |
| 28 | ❌ | 2294 | 109.8 |
| 29 | ❌ | 1065 | 52.2 |
- Homepage: https://github.com/erykhalicki/LeWAM
- Paper: [More Information Needed]
- License: apache-2.0
Dataset Structure
{
"codebase_version": "v3.0",
"fps": 30,
"features": {
"observation.state": {
"dtype": "float32",
"shape": [
21
],
"names": [
"shoulder_pan.pos",
"shoulder_lift.pos",
"elbow_flex.pos",
"wrist_flex.pos",
"wrist_yaw.pos",
"wrist_roll.pos",
"gripper.pos",
"shoulder_pan.torq",
"shoulder_lift.torq",
"elbow_flex.torq",
"wrist_flex.torq",
"wrist_yaw.torq",
"wrist_roll.torq",
"gripper.torq",
"shoulder_pan.vel",
"shoulder_lift.vel",
"elbow_flex.vel",
"wrist_flex.vel",
"wrist_yaw.vel",
"wrist_roll.vel",
"gripper.vel"
]
},
"observation.images.zed_left": {
"dtype": "video",
"shape": [
376,
672,
3
],
"names": [
"height",
"width",
"channels"
],
"info": {
"is_depth_map": false,
"video.height": 376,
"video.width": 672,
"video.codec": "h264",
"video.pix_fmt": "yuv420p",
"video.fps": 30,
"video.channels": 3,
"has_audio": false,
"video.g": 2,
"video.crf": 30,
"video.preset": null,
"video.fast_decode": 0,
"video.video_backend": "pyav",
"video.extra_options": {}
}
},
"observation.images.zed_right": {
"dtype": "video",
"shape": [
376,
672,
3
],
"names": [
"height",
"width",
"channels"
],
"info": {
"is_depth_map": false,
"video.height": 376,
"video.width": 672,
"video.codec": "h264",
"video.pix_fmt": "yuv420p",
"video.fps": 30,
"video.channels": 3,
"has_audio": false,
"video.g": 2,
"video.crf": 30,
"video.preset": null,
"video.fast_decode": 0,
"video.video_backend": "pyav",
"video.extra_options": {}
}
},
"observation.images.wrist_cam": {
"dtype": "video",
"shape": [
360,
640,
3
],
"names": [
"height",
"width",
"channels"
],
"info": {
"is_depth_map": false,
"video.height": 360,
"video.width": 640,
"video.codec": "h264",
"video.pix_fmt": "yuv420p",
"video.fps": 30,
"video.channels": 3,
"has_audio": false,
"video.g": 2,
"video.crf": 30,
"video.preset": null,
"video.fast_decode": 0,
"video.video_backend": "pyav",
"video.extra_options": {}
}
},
"action": {
"dtype": "float32",
"shape": [
7
],
"names": [
"shoulder_pan.pos",
"shoulder_lift.pos",
"elbow_flex.pos",
"wrist_flex.pos",
"wrist_yaw.pos",
"wrist_roll.pos",
"gripper.pos"
]
},
"timestamp": {
"dtype": "float32",
"shape": [
1
],
"names": null
},
"frame_index": {
"dtype": "int64",
"shape": [
1
],
"names": null
},
"episode_index": {
"dtype": "int64",
"shape": [
1
],
"names": null
},
"index": {
"dtype": "int64",
"shape": [
1
],
"names": null
},
"task_index": {
"dtype": "int64",
"shape": [
1
],
"names": null
}
},
"total_episodes": 30,
"total_frames": 56963,
"total_tasks": 1,
"chunks_size": 1000,
"data_files_size_in_mb": 100,
"video_files_size_in_mb": 200,
"data_path": "data/chunk-{chunk_index:03d}/file-{file_index:03d}.parquet",
"video_path": "videos/{video_key}/chunk-{chunk_index:03d}/file-{file_index:03d}.mp4",
"robot_type": null,
"splits": {
"train": "0:30"
}
}
Citation
BibTeX:
[More Information Needed]
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